Data Analyst (Field Collection)

We're looking for a Data Analyst who's genuinely into data quality - someone who gets uncomfortable when numbers don't add up and won't rest until they find out why.
You'll be the person keeping our collections data clean, consistent, and trustworthy - digging into discrepancies, fixing pipelines, supporting internal teams, and making sure the reports people rely on actually reflect reality.

Your Future Responsibilities Await:
Ensure data quality, consistency, and integrity across collection-related datasets and reports

Monitor and investigate data discrepancies, identify root causes, and implement fixes

Handle and resolve data-related requests and issues from internal stakeholders (collections team, operations, etc.)

Maintain and improve existing data pipelines, queries, and dashboards

Perform regular data validation and reconciliation checks

Collaborate with engineering and data teams to address systemic data issues

Document data definitions, processes, and known issues

Proactively identify opportunities to improve data quality and reporting efficiency

What we expect from candidate:
Strong proficiency in SQL

Experience working with large datasets and data validation processes

Solid understanding of data quality principles and best practices

Analytical mindset with strong problem-solving skills

Ability to investigate issues end-to-end and identify root causes

Good communication skills and ability to work with non-technical stakeholders

Attention to detail and high level of accuracy

Experience in fintech, lending, or collections domain is a plus